Centre of AI for All
Indian Language Technologies
The diversity of Indian languages, scripts, phonetics, and dialects is well known. The Centre will focus on building fundamental capabilities in Speech and Languages. In addition, the Centre will focus on building Indian Language stacks. Such APIs are essential to ensure inclusion of the significant non-English speaking population of India and bring the benefits of the digital, automation, and intelligence revolution to “the next Billion Indians.”
The Centre will work in partnership with researchers, national and international hospitals, medical institutions as well as State and Central Governments to develop a wide variety of capabilities across individual and public healthcare.
- Genomics and epigenetic research
- Diagnostic AI
- Computer vision APIs for radiology and pathology
- Healthcare IoT analytics
- AI for oncology research
- AI for drug discovery
- Building health knowledge bases spanning across various systems of medicines
- Building multi-lingual health-bots for personalized, contextualized, holistic, and proactive healthcare advisories
The Centre will collaborate with national agricultural universities to develop a Repository of Agriculture for India. It will also work towards integrating all agricultural sensors including soil IoT, remote sensing, weather, drone-based, and future sensors to understand, predict, and optimize the agriculture ecosystem of India. In addition, it will participate in the national mission to double farmers' income, maximize crop yield, minimize cost, improve soil quality and address supply-demand inefficiencies.
Projects will be undertaken within the National Education Policy framework to build a hybrid digital-physical education ecosystem enabling education at scale and across languages. The focus will be to build an ecosystem that enables personalised learning journeys including what students should learn next, best-suited content, relevant practice and assessment.
Safe cities, less crowded roads, efficient energy consumption, clean air and water and adaptive public transport systems will be some of the focus areas within this domain.
The Centre of AI for All will work with central and state governments to make services more automated, transparent, efficient, and productive. It will identify the various services that can benefit significantly with AI and help governments in bringing about digital, automated, and intelligent transformation across all their services.
The Centre will explore new paradigms for explainable AI and issues of fairness, privacy, security, transparency, data ownership, data governance, and accountability. It will work with the various national and international policy organizations to develop such frameworks and make them practically viable without hindering data-driven innovation.